QA-RecombineIt results for job id CASP_T0523_140916UgX7oc

RecombineIt: recombination mode.

Summary

Here are the results of the RecombineIt mode. In this mode our server combines fragments with high predicted accuracy to build new hybrid models with accuracy improved compared to the starting models. Usually, over 100 millions possible combinations of fragments are tested, then 100 final models are built by the MODELLER program.

The models presented here are ordered according to the MetaMQAP global score. Rank models by: MQAPcombMQAPmultiMQAPsingleProQ2GOAPDFIRE .
The number of the best models presented here is 20. Display different number of models: 51050 .
The local model quality along the sequence is based on the MetaMQAP local score. Choose another score of local model quality: MQAPcombMQAPmultiProQ2MQAPsingle

Please note that this website has been tested and optimized for Mozilla, Firefox, Opera, and Chrome.

Tools

chose MQAP to color models:

Sequence 1D information

Here, you can find PREDICTED secondary structure, solvent accessibility and protein order. The predictions were performed for the submitted target sequence.

Model quality assessment

This section presents the Quality Assessment of the hybrid models created by our recombination algorithm (RecombineIt) and the 5 highest scored models by MQAPmulti from those submitted by you. These models are ordered according to the MetaMQAP global score. The top model is the one with the highest predicted global accuracy.
Also the local model accuracy, as the MetaMQAP score, is presented as a heat map. The colors correspond to the local error expressed in Angstrom.
Colors are in the range from BLUE: 0 Angstroms to RED: 8 Angstroms and more.

Model fragments

The RecombineIt algorithm has sampled several milions of possible combinations of the fragments derived from your input models.
For the 100 most promissing combinations, the MODELLER program created models of the target protein.
Here, we present these models
composition. Every fragment is named according to the initial models it comes from.

Fragment cloud - the greater the font size, the more often the fragments derived from a given initial models were used to build the hybrid models presented here.BAKER-ROSETTASERVER_TS4IntFOLD-TS_TS1QUARK_TS1QUARK_TS2RaptorX-MSA_TS1Zhang-Server_TS1Zhang-Server_TS2Zhang-Server_TS3chunk-TASSER_TS2chunk-TASSER_TS3